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Factors to consider during anesthesia in patients undergoing preemptive kidney transplantation: a propensity-score matched analysis

BACKGROUND: International guidelines have recommended preemptive kidney transplantation (KT) as the preferred approach, advocating for transplantation before the initiation of dialysis. This approach is advantageous for graft and patient survival by avoiding dialysis-related complications. However,...

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Autores principales: Kim, Jeayoun, Lee, Kyo Won, Kim, Keoungah, Kang, Hyeryung, Yang, Jaehun, Park, Jae Berm, Kim, Gaabsoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403880/
https://www.ncbi.nlm.nih.gov/pubmed/37543574
http://dx.doi.org/10.1186/s12871-023-02208-8
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author Kim, Jeayoun
Lee, Kyo Won
Kim, Keoungah
Kang, Hyeryung
Yang, Jaehun
Park, Jae Berm
Kim, Gaabsoo
author_facet Kim, Jeayoun
Lee, Kyo Won
Kim, Keoungah
Kang, Hyeryung
Yang, Jaehun
Park, Jae Berm
Kim, Gaabsoo
author_sort Kim, Jeayoun
collection PubMed
description BACKGROUND: International guidelines have recommended preemptive kidney transplantation (KT) as the preferred approach, advocating for transplantation before the initiation of dialysis. This approach is advantageous for graft and patient survival by avoiding dialysis-related complications. However, recipients of preemptive KT may undergo anesthesia without the opportunity to optimize volume status or correct metabolic disturbances associated with end-stage renal disease. In these regard, we aimed to investigate the anesthetic events that occur more frequently during preemptive KT compared to nonpreemptive KT. METHODS: This is a single-center retrospective study. Of the 672 patients who underwent Living donor KT (LDKT), 388 of 519 who underwent nonpreemptive KT were matched with 153 of 153 who underwent preemptive KT using propensity score based on preoperative covariates. The primary outcome was intraoperative hypotension defined as area under the threshold (AUT), with a threshold set at a mean arterial blood pressure below 70 mmHg. The secondary outcomes were intraoperative metabolic acidosis estimated by base excess and serum bicarbonate, electrolyte imbalance, the use of inotropes or vasopressors, intraoperative transfusion, immediate graft function evaluated by the nadir creatinine, and re-operation due to bleeding. RESULTS: After propensity score matching, we analyzed 388 and 153 patients in non-preemptive and preemptive groups. The multivariable analysis revealed the AUT of the preemptive group to be significantly greater than that of the nonpreemptive group (mean ± standard deviation, 29.7 ± 61.5 and 14.5 ± 37.7, respectively, P = 0.007). Metabolic acidosis was more severe in the preemptive group compared to the nonpreemptive group. The differences in the nadir creatinine value and times to nadir creatinine were statistically significant, but clinically insignificant. CONCLUSION: Intraoperative hypotension and metabolic acidosis occurred more frequently in the preemptive group during LDKT. These findings highlight the need for anesthesiologists to be prepared and vigilant in managing these events during surgery.
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spelling pubmed-104038802023-08-06 Factors to consider during anesthesia in patients undergoing preemptive kidney transplantation: a propensity-score matched analysis Kim, Jeayoun Lee, Kyo Won Kim, Keoungah Kang, Hyeryung Yang, Jaehun Park, Jae Berm Kim, Gaabsoo BMC Anesthesiol Research BACKGROUND: International guidelines have recommended preemptive kidney transplantation (KT) as the preferred approach, advocating for transplantation before the initiation of dialysis. This approach is advantageous for graft and patient survival by avoiding dialysis-related complications. However, recipients of preemptive KT may undergo anesthesia without the opportunity to optimize volume status or correct metabolic disturbances associated with end-stage renal disease. In these regard, we aimed to investigate the anesthetic events that occur more frequently during preemptive KT compared to nonpreemptive KT. METHODS: This is a single-center retrospective study. Of the 672 patients who underwent Living donor KT (LDKT), 388 of 519 who underwent nonpreemptive KT were matched with 153 of 153 who underwent preemptive KT using propensity score based on preoperative covariates. The primary outcome was intraoperative hypotension defined as area under the threshold (AUT), with a threshold set at a mean arterial blood pressure below 70 mmHg. The secondary outcomes were intraoperative metabolic acidosis estimated by base excess and serum bicarbonate, electrolyte imbalance, the use of inotropes or vasopressors, intraoperative transfusion, immediate graft function evaluated by the nadir creatinine, and re-operation due to bleeding. RESULTS: After propensity score matching, we analyzed 388 and 153 patients in non-preemptive and preemptive groups. The multivariable analysis revealed the AUT of the preemptive group to be significantly greater than that of the nonpreemptive group (mean ± standard deviation, 29.7 ± 61.5 and 14.5 ± 37.7, respectively, P = 0.007). Metabolic acidosis was more severe in the preemptive group compared to the nonpreemptive group. The differences in the nadir creatinine value and times to nadir creatinine were statistically significant, but clinically insignificant. CONCLUSION: Intraoperative hypotension and metabolic acidosis occurred more frequently in the preemptive group during LDKT. These findings highlight the need for anesthesiologists to be prepared and vigilant in managing these events during surgery. BioMed Central 2023-08-05 /pmc/articles/PMC10403880/ /pubmed/37543574 http://dx.doi.org/10.1186/s12871-023-02208-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kim, Jeayoun
Lee, Kyo Won
Kim, Keoungah
Kang, Hyeryung
Yang, Jaehun
Park, Jae Berm
Kim, Gaabsoo
Factors to consider during anesthesia in patients undergoing preemptive kidney transplantation: a propensity-score matched analysis
title Factors to consider during anesthesia in patients undergoing preemptive kidney transplantation: a propensity-score matched analysis
title_full Factors to consider during anesthesia in patients undergoing preemptive kidney transplantation: a propensity-score matched analysis
title_fullStr Factors to consider during anesthesia in patients undergoing preemptive kidney transplantation: a propensity-score matched analysis
title_full_unstemmed Factors to consider during anesthesia in patients undergoing preemptive kidney transplantation: a propensity-score matched analysis
title_short Factors to consider during anesthesia in patients undergoing preemptive kidney transplantation: a propensity-score matched analysis
title_sort factors to consider during anesthesia in patients undergoing preemptive kidney transplantation: a propensity-score matched analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403880/
https://www.ncbi.nlm.nih.gov/pubmed/37543574
http://dx.doi.org/10.1186/s12871-023-02208-8
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